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Optimization of combining of self organizing maps and growing neural gas

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F16%3A86098908" target="_blank" >RIV/61989100:27240/16:86098908 - isvavai.cz</a>

  • Alternative codes found

    RIV/61989100:27740/16:86098908

  • Result on the web

    <a href="http://link.springer.com/chapter/10.1007%2F978-3-319-45378-1_25" target="_blank" >http://link.springer.com/chapter/10.1007%2F978-3-319-45378-1_25</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-319-45378-1_25" target="_blank" >10.1007/978-3-319-45378-1_25</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Optimization of combining of self organizing maps and growing neural gas

  • Original language description

    The paper deals with the issue of high dimensional data clustering. One possible way to cluster this kind of data is based on Artificial Neural Networks (ANN) such as Growing Neural Gas (GNG) or Self Organizing Maps (SOM). Parallel modification, Growing Neural Gas with pre-processing by Self Organizing Maps, and its implementation on the HPC cluster is presented in the paper. Some experimental results are also presented. We focus on effective preprocessing for GNG. The clustering is realized on the output layer of SOM and the data for GNG are distributed into parallel processes. (C) IFIP International Federation for Information Processing 2016.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/LM2015070" target="_blank" >LM2015070: IT4Innovations National Supercomputing Center</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2016

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  • ISBN

    978-3-319-45377-4

  • ISSN

    0302-9743

  • e-ISSN

  • Number of pages

    10

  • Pages from-to

    277-286

  • Publisher name

    Springer Verlag

  • Place of publication

    Vilnius

  • Event location

    Vilnius, Lithuania

  • Event date

    Sep 14, 2016

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000388720000025